Purpose The purpose of this study is to calculate the ranking of vault players in artistic gymnastics by individual and by country using the PageRank algorithm. The purpose of this study is to provide basic data that can be used in gymnastics events by comparing the performances of historical vault players with those of previous Olympic competitions. Methods The data collected for this purpose is a score of 117 vault players based on the results of the Olympic final event published in the International Gymnastics Federation (FIG). For data analysis, PegeRnak algorithm was used for calculating the ranking of vault players using MS-Excel and NetMiner. Results The results are as follows that. First, the PageRank algorithm is possible to calculate for historical vault players' rankings. Specifically, the ranking of vault players for historical Olympic calculated by PageRank ranked as Gervasio Deferr from Spain (ESP) at 1st, Alexei Nemov from Russia (RUS) at 2nd, and Klaus Koste from Germany (GDR) at 3rd. Second, Network of vault players' ranking is separated by each generation of Olympic games. Conclusions As a conclusions, it is possible to calculate national ranking of vault games of gymnastics by using PageRank algorithm.
Purpose The purpose of this study was to explore the optimal model for winning medal on vault event of men's gymnastics. Specifically, decision tree analysis was used to explore, first, for the optimal conditions for qualifying top 8th player that have high possibility into final round, and second, for the optimal model for obtaining the medal of the vault event. Methods Data were collected for five official competitions (Olympics, Asian games, and International championship, etc.) organized by the Federation of International Gymnastics (FIG) from 2013 to 2016. In this study, the data of 626 vault players were collected. Also all of these players performed 921 vault skills for qualifying round or final round. Five predictor variables for estimating for qualifying into the final round and for obtaining the medal of the vault event were selected; nationality, difficulty score, acting score, additional penalty score, final score. Results The results is as follows. Overall, it was confirmed that the optimal model for entering into the final round was the difficulty score of vault event. The optimal model for entering into the final round estimates 81.2% when condition would be the 5.6 or higher of difficulty score and 8.6 or higher of the acting score. The optimal model for winning medals was 86.7%, which means that when condition would be the 6.0 or higher of difficulty score and no additional penalty score. Conclusions This models can be used as a basic data for establishing a strategy for medal acquisition of vault event of gymnastics.
